Job Description

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
AI/Data Automation Specialist
Job Summary:
The AI/Data Automation Specialist within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets will play a strategic and hands-on role in designing, implementing, and operationalizing intelligent automation and AI-powered capabilities that enhance EY's SAP BDC data migration initiative. This role is crucial in enabling automation across data ingestion, transformation, validation, reconciliation, and governance using modern cloud-native technologies (SAP, Databricks, Snowflake, Microsoft, NVIDIA) integrated with SAP systems.
The ideal candidate combines advanced data science expertise, deep familiarity with cloud-based AI/ML services, and hands-on automation delivery experience to scale data quality and decision intelligence in complex SAP transformation programs.
Essential Functions of the Job:

• Lead design and development of AI/ML models for data profiling, anomaly detection, automated classification, NLP-based rule parsing, and predictive analytics on SAP and cloud-sourced datasets.
• Automate rule-based and intelligent data cleansing, matching, and enrichment activities across master and transactional data domains.
• Develop cognitive agents or bots for intelligent data extraction from unstructured and semi-structured sources (e.g., PDFs, scanned documents, Excel forms).
• Collaborate with SAP BDC engineers, MDM specialists, and data platform teams to embed intelligent automation into end-to-end data migration pipelines.
• Integrate AI/ML pipelines using cloud-native services (Azure ML, AWS SageMaker, Vertex AI, Nvidia AI) with ETL/ELT orchestration workflows (Databricks, ADF, Glue, or Airflow).
• Continuously monitor, retrain, and enhance deployed ML models using MLOps best practices.
• Assist with data labeling, synthetic data generation, and transfer learning for complex data scenarios.
• Document solution designs, maintain model explainability artifacts, and ensure AI solutions are auditable and ethically aligned.
• Evangelize the use of AI/automation across the BDC data lifecycle and provide mentoring to other team members.

Knowledge and Skills Requirements:

• Strong programming and modeling skills using Python, PySpark, R, SQL, and relevant ML libraries (scikit-learn, TensorFlow, XGBoost, Transformers).
• Experience building and operationalizing AI/ML models in cloud environments (SAP, Databricks, Microsoft).
• Expertise in data wrangling, feature engineering, and large-scale data processing frameworks (Spark, Pandas, Dask).
• Working knowledge of OCR/NLP techniques, including use of Tesseract, Azure Form Recognizer, or Amazon Textract.
• Proficiency in developing reusable automation scripts and agents using APIs, Python automation frameworks, or RPA platforms (e.g., Power Automate, UiPath).
• Familiarity with SAP master data and transactional structures to support intelligent mapping and transformation.
• Knowledge of MLOps tools and platforms (MLflow, Kubeflow, Seldon, Azure ML pipelines).
• Understanding of model bias, fairness, and ethical AI considerations.
• Excellent communication and stakeholder management skills; ability to translate AI outcomes into business language.

Other Requirements:

• Experience working in Agile data teams and across hybrid cloud/on-premise architectures.
• Strong documentation discipline and ability to communicate technical results to non-technical audiences.
• Experience in integrating AI automation into SAP data migration, BDC tools, or MDM pipelines is a strong advantage.
• Ability to drive innovation and continuously evaluate emerging AI technologies for applicability in enterprise data transformation.

Job Requirements:
Education:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field. A PhD is a plus.

Certifications (preferred):

• SAP AI / BDC / BTP certifications
• Databricks Certified ML Professional
• Microsoft Azure AI Engineer Associate

Experience:

• Minimum 6-10 years in data science, automation, or AI/ML engineering roles, with at least 2-3 years working on enterprise data platforms or SAP data transformations.

EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Skills Required